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Using a Simple Monte Carlo Simulation to Explore the Relationship Between Number of Stops and Travel Distance

In: Postal Strategies in a Digital and Green Transition

Author

Listed:
  • Robert Cohen

    (U.S. Postal Regulatory Commission)

  • Michael Leibert

    (U.S. Department of Education)

  • Matthew Robinson

    (U.S. Postal Regulatory Commission)

  • Samuel Robinson

    (U.S. Postal Regulatory Commission)

Abstract

The chapter presents a simulation model with input parameters that include (among others) grid size and shape (e.g., square or rectangular), number of stops, and location of the entry point to the grid. Each intersection on the grid is a possible stop. By altering input parameters the chapter explores: the relationship between density and total distance travelled; the effect of clustering of stops; the savings from merging two or more routes; the savings from e-commerce when delivery is from a central point versus consumers shopping at a store; the effect of using different entry points; the effect of one-way streets; and the effect of barriers (like rivers, railway tracks, closed streets, etc.) requiring the use of a bridge, a tunnel, or a single street to cross the barrier.

Suggested Citation

  • Robert Cohen & Michael Leibert & Matthew Robinson & Samuel Robinson, 2026. "Using a Simple Monte Carlo Simulation to Explore the Relationship Between Number of Stops and Travel Distance," Topics in Regulatory Economics and Policy, in: Anna Renata Pisarkiewicz & Timothy J. Brennan & Leonardo Mazzoni & Victor Glass (ed.), Postal Strategies in a Digital and Green Transition, pages 327-339, Springer.
    • Handle: RePEc:spr:topchp:978-3-032-00502-1_22
    DOI: 10.1007/978-3-032-00502-1_22
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